End of training
Browse files- README.md +74 -0
- config.json +42 -0
- preprocessor_config.json +22 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_keras_callback
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model-index:
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- name: Akhil123/emotions_classifier
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# Akhil123/emotions_classifier
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 2.0827
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- Validation Loss: 2.0793
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- Train Accuracy: 0.1437
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- Epoch: 19
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0003, 'decay_steps': 12800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 1.9720 | 1.6874 | 0.225 | 0 |
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| 2.0874 | 2.0802 | 0.125 | 1 |
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| 2.0744 | 2.0407 | 0.2313 | 2 |
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| 2.0540 | 2.0760 | 0.1688 | 3 |
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| 2.1039 | 2.0796 | 0.1125 | 4 |
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| 2.0813 | 2.0794 | 0.1187 | 5 |
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| 2.0802 | 2.0797 | 0.1187 | 6 |
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| 2.0793 | 2.0790 | 0.125 | 7 |
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| 2.0657 | 2.0128 | 0.2 | 8 |
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| 2.0724 | 2.0920 | 0.125 | 9 |
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| 2.0896 | 2.0744 | 0.1187 | 10 |
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| 2.0844 | 2.0824 | 0.1187 | 11 |
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| 2.0819 | 2.0755 | 0.125 | 12 |
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| 2.0614 | 2.0392 | 0.1562 | 13 |
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| 2.0676 | 2.0812 | 0.1187 | 14 |
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| 2.0810 | 2.0792 | 0.1187 | 15 |
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| 2.0826 | 2.0813 | 0.1187 | 16 |
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| 2.0788 | 2.0770 | 0.15 | 17 |
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| 2.0797 | 2.0733 | 0.125 | 18 |
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| 2.0827 | 2.0793 | 0.1437 | 19 |
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### Framework versions
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- Transformers 4.31.0
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- TensorFlow 2.12.0
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "anger",
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"1": "contempt",
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"2": "disgust",
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"3": "fear",
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"4": "happy",
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"5": "neutral",
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"6": "sad",
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"7": "surprise"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"anger": "0",
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"contempt": "1",
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"disgust": "2",
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"fear": "3",
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"happy": "4",
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"neutral": "5",
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"sad": "6",
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"surprise": "7"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"transformers_version": "4.31.0"
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8344bbb8b0bf2475505f8ae9175a7a77fee208d5eda0e240685d5bab4f149b2
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size 343488184
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